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(perf) move s3 logging to Batch logging + async [94% faster perf under 100 RPS on 1 litellm instance] (#6165)

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* fix move s3 to use customLogger

* add basic s3 logging test

* add s3 to custom logger compatible

* use batch logger for s3

* s3 set flush interval and batch size

* fix s3 logging

* add notes on s3 logging

* fix s3 logging

* add basic s3 logging test

* fix s3 type errors

* add test for sync logging on s3
This commit is contained in:
Ishaan Jaff 2024-10-11 19:49:03 +05:30 • committed by GitHub
parent 4e1c892dfc
commit 2a5624af47
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8 changed files with 407 additions and 149 deletions
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litellm/integrations/custom_batch_logger.py
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@ -21,6 +21,7 @@ class CustomBatchLogger(CustomLogger):
self,
flush_lock: Optional[asyncio.Lock] = None,
batch_size: Optional[int] = DEFAULT_BATCH_SIZE,
flush_interval: Optional[int] = DEFAULT_FLUSH_INTERVAL_SECONDS,
**kwargs,
) -> None:
"""
@ -28,7 +29,7 @@ class CustomBatchLogger(CustomLogger):
flush_lock (Optional[asyncio.Lock], optional): Lock to use when flushing the queue. Defaults to None. Only used for custom loggers that do batching
"""
self.log_queue: List = []
self.flush_interval = DEFAULT_FLUSH_INTERVAL_SECONDS # 10 seconds
self.flush_interval = flush_interval or DEFAULT_FLUSH_INTERVAL_SECONDS
self.batch_size: int = batch_size or DEFAULT_BATCH_SIZE
self.last_flush_time = time.time()
self.flush_lock = flush_lock